dbn-cache
Download and cache historical market data from Databento.
Installation
As a library
uv add dbn-cache
# or
pip install dbn-cache
CLI only (global install)
uv tool install dbn-cache
# or
pipx install dbn-cache
# or
mise use -g pipx:dbn-cache
Configuration
Set your Databento API key:
export DATABENTO_API_KEY=db-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Optionally configure cache location:
export DATABENTO_CACHE_DIR=/path/to/cache
Default cache locations:
- Unix/Mac:
~/.databento - Windows:
%LOCALAPPDATA%\databento
CLI Usage
The CLI is available as dbn (or dbn-cache):
# Show help
dbn -h
dbn download -h
# Download E-mini S&P 500 continuous futures (1-minute OHLCV)
dbn download ES.c.0 --schema ohlcv-1m --start 2024-01-01 --end 2024-12-01
# Download specific contract (dates auto-detected for supported futures)
dbn download NQH25 --schema ohlcv-1m
# Download current front-month contract (auto-detected)
dbn download NQ --schema ohlcv-1m
dbn download MNQ --schema ohlcv-1m
# Batch download all quarterly contracts for a root symbol
dbn download NQ --schema ohlcv-1m --from 2016 # 2016 to present
dbn download NQ --schema ohlcv-1m --from 2016 --to 2020 # 2016 to 2020
# Override auto-detection with explicit dates
dbn download ESZ24 --schema trades --start 2024-11-01 --end 2024-12-01
# Download from different dataset (default: GLBX.MDP3)
dbn download AAPL --schema trades --start 2024-01-01 --end 2024-01-31 -d XNAS.ITCH
# Update cached data to latest available (data has ~24h embargo)
dbn update ES.c.0 # Update all schemas for symbol
dbn update ES.c.0 -s ohlcv-1m # Update specific schema
dbn update mnq # Update + auto-roll expired contracts
dbn update --all # Update everything in cache
dbn update --all --no-roll # Update without auto-rolling
# List cached data (table view with quality indicators)
dbn list # All cached data
dbn list NQ # Filter by symbol prefix
dbn list -s ohlcv-1m # Filter by schema
dbn list -v # Verbose output with quality details
dbn list -v ES.c.0 # Verbose for specific symbol
# Estimate cost before downloading
dbn cost ES.c.0 --schema trades --start 2024-01-01 --end 2024-12-01
# Verify cache integrity (check for missing files)
dbn verify
dbn verify --fix # Rebuild missing metadata and remove stale entries
# Reference commands
dbn datasets # List available datasets
dbn schemas # List available schemas
dbn symbols # Show symbol format examples
Auto-Detection for Futures Contracts
For supported futures contracts, dates are automatically calculated based on contract specifications:
# No --start/--end needed - dates auto-detected
dbn download NQH25 --schema ohlcv-1m
# → Downloads: Dec 6, 2024 to Mar 21, 2025
# Adjust rollover buffer (default 14 days before front-month)
dbn download NQH25 --schema ohlcv-1m --rollover-days 7
# Explicit dates still work and override auto-detection
dbn download NQH25 --schema ohlcv-1m --start 2024-12-01 --end 2025-03-21
Front-Month Download
When given a bare root symbol (no --from, no --start/--end), the CLI automatically resolves it to the current front-month contract:
dbn download NQ --schema ohlcv-1m
# → Resolves to NQM26 (or whichever contract is currently active)
# → Dates auto-detected from rollover through expiration
dbn download MNQ --schema ohlcv-1m
# → Resolves to MNQM26
Auto-Roll on Update
When updating cached data, expired futures contracts automatically trigger download of the successor contract with the same schemas:
# MNQH26 expired → automatically downloads MNQM26 with same schemas
dbn update mnq
# Disable auto-roll
dbn update mnq --no-roll
Batch Download
Download all quarterly contracts for a root symbol over a year range:
# Download NQ contracts from 2016 to present
dbn download NQ --schema ohlcv-1m --from 2016
# Download NQ contracts from 2016 to 2020
dbn download NQ --schema ohlcv-1m --from 2016 --to 2020
# → Downloads: NQH16, NQM16, NQU16, NQZ16, NQH17, ..., NQZ20 (20 contracts)
This downloads all quarterly contracts (March, June, September, December) for the specified years. Each contract's dates are auto-detected. Already-cached contracts are skipped.
Symbol format: ROOT + MONTH_CODE + 2-DIGIT_YEAR
| Input | Interpreted As |
|---|---|
NQH25 |
March 2025 |
NQH16 |
March 2016 |
ESZ24 |
December 2024 |
Always use 2-digit years (e.g., NQH25, not NQH5).
Supported products:
- Equity index: ES, NQ, RTY, YM, EMD, MES, MNQ, M2K, MYM, NKD, NIY
- Treasuries: ZB, ZN, ZF, ZT, UB
- Metals: GC, SI, HG, PL, PA
Date calculation:
- End: Contract expiration date
- Start: Previous quarterly contract expiration minus rollover buffer
For other symbols (stocks, continuous futures, unsupported products), --start and --end are required.
Shell Completions
# Zsh (add to .zshrc)
eval "$(dbn completions zsh)"
# Bash (add to .bashrc)
eval "$(dbn completions bash)"
# Fish
dbn completions fish > ~/.config/fish/completions/dbn.fish
# PowerShell (Windows)
dbn completions powershell >> $PROFILE
Cancellation & Error Handling
- Press
Ctrl+Cto cancel gracefully; partial downloads are saved and can be resumed - All errors are caught and displayed with clear messages (no unhandled exceptions)
Library Usage
from datetime import date
from dbn_cache import DataCache, get_contract_dates
# Initialize cache (uses ~/.databento by default)
cache = DataCache()
# Download and cache data
data = cache.download("ES.c.0", "ohlcv-1m", date(2024, 1, 1), date(2024, 12, 1))
# Auto-detect dates for supported futures contracts
data = cache.download("NQH25", "ohlcv-1m") # Dates calculated automatically
data = cache.download("NQH25", "ohlcv-1m", rollover_days=7) # Custom buffer
# Get contract dates directly
start, end = get_contract_dates("NQH25", rollover_days=14)
# → (date(2024, 12, 6), date(2025, 3, 21))
# Get current front-month contract
from dbn_cache import get_front_month_contract, get_next_contract
front = get_front_month_contract("NQ") # e.g., "NQM26"
successor = get_next_contract("NQH26") # "NQM26"
# Generate all quarterly contracts for batch download
from dbn_cache import generate_quarterly_contracts
contracts = generate_quarterly_contracts("NQ", 2016, 2020)
# → ['NQH16', 'NQM16', 'NQU16', 'NQZ16', 'NQH17', ..., 'NQZ20']
for symbol in contracts:
cache.download(symbol, "ohlcv-1m")
# Get as Polars LazyFrame
df = data.to_polars().collect()
# Or as Pandas DataFrame
df = data.to_pandas()
# Ensure data is cached (downloads only if missing)
data = cache.ensure("ES.c.0", "ohlcv-1m", date(2024, 1, 1), date(2024, 12, 1))
# Update cached data to latest available (returns None if already up to date)
data = cache.update("ES.c.0", "ohlcv-1m") # Dataset inferred from cache
# Update all cached data
result = cache.update_all()
print(f"Updated: {result.updated_count}, Up to date: {result.up_to_date_count}")
if result.has_errors:
for item, error in result.errors:
print(f" {item.symbol}/{item.schema_}: {error}")
# Get cached data (raises CacheMissError if not cached)
from dbn_cache import CacheMissError
try:
data = cache.get("ES.c.0", "ohlcv-1m", date(2024, 1, 1), date(2024, 12, 1))
except CacheMissError:
print("Data not cached")
# Get data quality issues
issues = cache.get_quality_issues("ES.c.0", "ohlcv-1m")
for issue in issues:
print(f"{issue.date}: {issue.issue_type}")
# Repair orphaned parquet files (missing metadata)
repaired = cache.repair_metadata()
for dataset, symbol, schema in repaired:
print(f"Rebuilt metadata for {symbol}/{schema}")
# Custom cache location
from pathlib import Path
cache = DataCache(cache_dir=Path("/path/to/cache"))
Supported Symbols
Stocks
AAPL- Apple Inc. (use with-d XNAS.ITCHor other equity datasets)
Options
SPX.OPT- All SPX options (use with-d OPRA.PILLAR)
Futures (CME Globex)
ESZ24- Specific contract (E-mini S&P 500, December 2024)ES.c.0- Front month by calendar (safe for backtesting)ES.v.0- Front month by volume (has look-ahead bias)ES.n.0- Front month by open interest (has look-ahead bias)ES.FUT- All contracts for a product
Common products: ES (S&P 500), NQ (Nasdaq), CL (Crude Oil), GC (Gold), 6E (Euro FX), 6J (Yen), ZB (Treasury Bonds)
Schemas
Run dbn schemas for the full list. Common schemas:
| Schema | Description | Partition |
|---|---|---|
trades |
Executed trades | Daily |
ohlcv-1m |
1-minute OHLCV bars | Monthly |
ohlcv-1h |
Hourly OHLCV bars | Monthly |
ohlcv-1d |
Daily OHLCV bars | Monthly |
mbp-1 |
Top of book (L1) | Daily |
mbp-10 |
10 levels of book (L2) | Daily |
mbo |
Full order book | Daily |
Cache Structure
~/.databento/
└── GLBX.MDP3/
└── ES_c_0/
└── ohlcv-1m/
├── meta.json
└── 2024/
├── 01.parquet
├── 02.parquet
└── ...
Look-Ahead Bias Warning
When using continuous futures for backtesting:
- ✅
ES.c.0(calendar) - Roll dates are fixed, safe for backtesting - ⚠️
ES.v.0(volume) - Roll dates determined by future volume data - ⚠️
ES.n.0(open interest) - Roll dates determined by future OI data
For accurate backtesting, use calendar-based continuous contracts (.c.) or download individual contracts and implement your own roll logic.
Market Calendar Integration
Downloads automatically skip market holidays and non-trading days using exchange calendars:
| Dataset | Calendar | Holiday Behavior |
|---|---|---|
GLBX.MDP3 |
CME | Open most holidays with early close |
OPRA.PILLAR |
NYSE | Closed on federal holidays |
XNAS.ITCH |
NYSE | Closed on federal holidays |
DBEQ.BASIC |
NYSE | Closed on federal holidays |
This prevents API errors when downloading tick data on days when markets are closed.
Development
uv sync
uv run pytest
uv run ruff check .
uv run pyright
Release files for dbn-cache 1.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dbn_cache-1.3.1.tar.gz | 129.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dbn_cache-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 172.1 kB
Release files / dbn_cache-1.3.1.tar.gz
| Download URL | dbn_cache-1.3.1.tar.gz |
|---|---|
| Size | 129.2 kB |
| Tags | Source |
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Yes |
| Uploaded via |
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Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 25, 2026.
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